GMAT (software)

GMAT (software)
Name	GMAT
Developer	National Aeronautics and Space Administration Goddard Space Flight Center; University of Michigan collaborators
Released	1990s
Programming language	C++, Fortran
Operating system	Microsoft Windows, Linux, macOS
License	open-source

GMAT (software) is a computer program for spacecraft trajectory optimization, mission design, and flight dynamics analysis. It is used by organizations such as National Aeronautics and Space Administration, European Space Agency, and academic groups at Massachusetts Institute of Technology, Stanford University, and University of Michigan for planning missions, simulating maneuvers, and validating guidance solutions. The software integrates numerical propagation, optimization, and estimation capabilities to support projects ranging from planetary missions to Earth-orbiting satellites, interfacing with institutions like Jet Propulsion Laboratory, Lockheed Martin, and Boeing.

Overview

GMAT provides tools for trajectory propagation, orbit determination, and mission planning used by teams at NASA Goddard Space Flight Center, Ames Research Center, and research centers at Caltech, Princeton University, and Cornell University. It combines integrators, force models, and estimation algorithms used in projects similar to those at Jet Propulsion Laboratory, Air Force Research Laboratory, and European Space Operations Centre. The environment supports scripting and graphical interfaces often employed alongside software from Analytical Graphics, Inc. and workflows practiced at United States Naval Research Laboratory, Massachusetts Institute of Technology, and Stanford University laboratories.

History and Development

Development began in collaboration with NASA Goddard Space Flight Center in the 1990s, with contributions from researchers affiliated with University of Michigan, University of Colorado Boulder, and Georgia Institute of Technology. The project has interacted with missions and programs at Jet Propulsion Laboratory, Langley Research Center, and industrial partners such as Northrop Grumman and Raytheon. Over time GMAT incorporated algorithms and practices found in works from David Vallado-like literature and estimation approaches related to concepts applied at California Institute of Technology mission design groups. Community contributions have come from academic teams at University of Texas at Austin, Purdue University, and independent developers who previously worked on projects at Princeton Plasma Physics Laboratory and Los Alamos National Laboratory.

Architecture and Features

GMAT's architecture includes modular propagators, optimizers, and estimators comparable to components used at Jet Propulsion Laboratory and in tools developed by Analytical Graphics, Inc.. Core modules implement numerical integration methods used in studies at Massachusetts Institute of Technology and error models referenced in literature from Harvard University and University of Cambridge. Feature sets include multi-body force models, atmospheric drag consistent with datasets maintained by NOAA, solar radiation pressure models used in European Space Agency analyses, and maneuver modeling applied on missions by Lockheed Martin and Boeing. The software supports interfaces to external libraries and scripting similar to toolchains used at NASA Ames Research Center, California Institute of Technology, and University of Colorado Boulder research groups.

Applications and Use Cases

GMAT is applied in mission design activities for planetary missions comparable to those led by Jet Propulsion Laboratory and European Space Agency, orbit design for spacecraft operated by NASA Goddard Space Flight Center and commercial providers like SpaceX, and rendezvous planning in programs similar to operations at Johnson Space Center and Kennedy Space Center. Academic users at Massachusetts Institute of Technology, Stanford University, and University of Michigan employ it for teaching astrodynamics, while research teams at Princeton University and Cornell University use it for testing guidance algorithms and optimization routines. Industry projects at Northrop Grumman and Raytheon leverage GMAT-style capabilities for satellite constellation planning, collision avoidance analyses similar to workflows at United States Space Force units, and spacecraft autonomy prototyping akin to efforts at NASA Jet Propulsion Laboratory.

Performance and Validation

Performance of GMAT's propagators and optimizers has been benchmarked against tools used at Jet Propulsion Laboratory, Analytical Graphics, Inc., and research codes from Massachusetts Institute of Technology and Stanford University. Validation efforts draw on canonical test cases familiar to practitioners from European Space Agency mission design, standard datasets produced by NOAA, and ephemerides frameworks used at Harvard-Smithsonian Center for Astrophysics. Comparisons have been performed by teams associated with University of Colorado Boulder, University of Texas at Austin, and Purdue University to assess numerical accuracy, convergence of solvers, and robustness of estimation consistent with methods from California Institute of Technology studies.

Licensing and Availability

GMAT is distributed under an open-source license and is accessible to users at research institutions like Massachusetts Institute of Technology, Stanford University, and University of Michigan, as well as agencies such as NASA and European Space Agency. The project encourages contributions from developers formerly affiliated with Jet Propulsion Laboratory, Langley Research Center, and academic partners at Princeton University and Cornell University. Installation packages support Microsoft Windows, Linux, and macOS platforms used in laboratories at Los Alamos National Laboratory and Argonne National Laboratory.

Category:Spaceflight software